Explores the security, privacy, and ethical challenges in AI and machine learning systems. Designed for advanced students, it covers AI risk assessment, adversarial machine learning, and trustworthy AI deployment. Through lectures, case studies, and hands-on projects, students will learn to identify vulnerabilities, implement defenses, and design trustworthy AI systems. By the end, they will be equipped to develop and deploy AI responsibly in real-world scenarios.

Credit Hours: (3)
Prerequisite(s): ITCS 5154 or ITCS 5356
Cross-listed Course(s): ITIS 4271

Schedule of Classes

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